1450 search results - page 36 / 290 » Complexity of Inference in Graphical Models |
DSN
2011
IEEE
12 years 7 months ago
2011
IEEE
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
ALDT
2011
Springer
12 years 7 months ago
2011
Springer
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
OSDI
2008
ACM
14 years 8 months ago
2008
ACM
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
AAAI
2008
13 years 10 months ago
2008
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...